Key Responsibilities

<ul>
<li>Design, develop, and deploy statistical and machine learning models for diverse use cases including forecasting, NLP, and behavioral simulation.</li>
</ul>

<ul>
<li>Apply advanced techniques in time series forecasting, probabilistic modeling, and simulation for real-world business problems.</li>
</ul>

<ul>
<li>Build and fine-tune NLP models for information extraction, classification, and summarization tasks using libraries like spaCy, HuggingFace, or PyTorch.</li>
</ul>

<ul>
<li>Collaborate with data engineers to implement and scale models into production pipelines.</li>
</ul>

<ul>
<li>Translate complex analytical solutions into actionable insights for business teams.</li>
</ul>

<ul>
<li>Conduct code and model reviews, provide mentorship to junior data scientists, and contribute to team-wide knowledge sharing.</li>
</ul>

Required Qualifications

<ul>
<li>Strong grounding in statistics, hypothesis testing, and mathematical modeling.</li>
</ul>

<ul>
<li>Proficiency in time series analysis, forecasting methods (e.g., ARIMA, Prophet, LSTM).</li>
</ul>

<ul>
<li>Solid experience with natural language processing techniques and tools.</li>
</ul>

<ul>
<li>Proficient in Python, with deep experience using PyTorch for model development.</li>
</ul>

<ul>
<li>Experience with simulation techniques (e.g., Monte Carlo, agent-based models).</li>
</ul>

<ul>
<li>Strong understanding of data structures, algorithms, and model evaluation techniques.</li>
</ul>

<ul>
<li>Excellent communication skills, with the ability to clearly present complex concepts to non-technical audiences.</li>
</ul>

Good to Have

<ul>
<li>Familiarity with cloud platforms (AWS/GCP/Azure), containerization (Docker), and MLOps tools (MLflow, Kubeflow).</li>
</ul>

<ul>
<li>Experience working in domains such as finance, insurance</li>
</ul>

<ul>
<li>Exposure to or research experience with Agentic AI, LLM agents</li>
</ul>

Senior Data Scientist

Key Responsibilities Design, develop, and deploy statistical and machine learning models for diverse use cases including forecasting, NLP, and behavioral simulation. Apply advanced techniques in time series forecasting, probabilistic modeling, and simulation for real-world business problems. Build and fine-tune NLP models for information extraction, classification, and summarization tasks using libraries like spaCy, HuggingFace, or PyTorch. Collaborate with data engineers to implement and scale models into production pipelines. Translate complex analytical solutions into actionable insights for business teams. Conduct code and model reviews, provide mentorship to junior data scientists, and contribute to team-wide knowledge sharing. Required Qualifications Strong grounding in statistics, hypothesis testing, and mathematical modeling. Proficiency in time series analysis, forecasting methods (e.g., ARIMA, Prophet, LSTM). Solid experience with natural language processing techniques and tools. Proficient in Python, with deep experience using PyTorch for model development. Experience with simulation techniques (e.g., Monte Carlo, agent-based models). Strong understanding of data structures, algorithms, and model evaluation techniques. Excellent communication skills, with the ability to clearly present complex concepts to non-technical audiences. Good to Have Familiarity with cloud platforms (AWS/GCP/Azure), containerization (Docker), and MLOps tools (MLflow, Kubeflow). Experience working in domains such as finance, insurance Exposure to or research experience with Agentic AI, LLM agents

Senior Data Scientist in Mumbai (UID-13109)

Job Description

Job Details

Skills Required for Senior Data Scientist

Job Description for Senior Data Scientist

Explore More Opportunities